/ProfessorSurvey

Web scraper to get professor information, and a mass emailer that sends a website with a survey.

Primary LanguageJupyter Notebook

ProfessorSurvey

https://friendly-borg-18530c.netlify.app/index.html

Population : All professors and lecturers that have recently taught or arehttps://profiles.ucr.edu/app/home currently teaching

Sampling Frame : A list of email addresses of current professors and lecturers taken from the UCR Profiles website

Sampling Unit : Professors/lecturers of a single department

Observational Unit : A single professor or lecturer at UCR

A few possible sources of selection bias
  1. Nonresponse: We dont know how many instructors will respond to the survey
  2. Some professors might not teach anymore
  3. Some professors will not open up the email unless it includes the course name they are teaching in the subject header
  4. Unsure if the professors will be 100% truthful with their answers
  5. Unsure if the instructors will speed through the survey without giving it a thought, just to complete it
  6. Instructors that receive a lot of emails may miss the survey request